Overview

Dataset statistics

Number of variables36
Number of observations113216
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.1 MiB
Average record size in memory288.0 B

Variable types

Categorical8
Numeric28

Alerts

actual_delivery_time is highly overall correlated with delivery_speedHigh correlation
churn is highly overall correlated with customer_order_frequency and 1 other fieldsHigh correlation
customer_order_frequency is highly overall correlated with churn and 1 other fieldsHigh correlation
customer_review_average is highly overall correlated with product_avg_review_score and 1 other fieldsHigh correlation
customer_zip_code_prefix is highly overall correlated with same_stateHigh correlation
delivery_speed is highly overall correlated with actual_delivery_time and 1 other fieldsHigh correlation
is_high_value_order is highly overall correlated with payment_value and 1 other fieldsHigh correlation
multiple_installments is highly overall correlated with payment_installments and 1 other fieldsHigh correlation
order_item_id is highly overall correlated with churn and 1 other fieldsHigh correlation
payment_installments is highly overall correlated with multiple_installmentsHigh correlation
payment_type is highly overall correlated with multiple_installmentsHigh correlation
payment_value is highly overall correlated with is_high_value_order and 1 other fieldsHigh correlation
price is highly overall correlated with is_high_value_order and 2 other fieldsHigh correlation
product_avg_review_score is highly overall correlated with customer_review_averageHigh correlation
product_height_cm is highly overall correlated with product_weight_gHigh correlation
product_length_cm is highly overall correlated with product_weight_g and 1 other fieldsHigh correlation
product_weight_g is highly overall correlated with price and 3 other fieldsHigh correlation
product_width_cm is highly overall correlated with product_length_cm and 1 other fieldsHigh correlation
review_score is highly overall correlated with customer_review_averageHigh correlation
same_state is highly overall correlated with customer_zip_code_prefix and 1 other fieldsHigh correlation
order_status is highly imbalanced (99.9%)Imbalance
same_city is highly imbalanced (70.7%)Imbalance
customer_review_response_time is highly skewed (γ1 = 24.28202129)Skewed
product_weight_volume_ratio is highly skewed (γ1 = 57.36308947)Skewed
order_processing_time has 1481 (1.3%) zerosZeros

Reproduction

Analysis started2024-10-14 19:59:43.493967
Analysis finished2024-10-14 20:01:35.240286
Duration1 minute and 51.75 seconds
Software versionydata-profiling vv4.6.2
Download configurationconfig.json

Variables

order_status
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.3 MiB
1
113209 
0
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters113216
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 113209
> 99.9%
0 7
 
< 0.1%

Length

2024-10-14T23:01:35.355658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-14T23:01:35.475030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 113209
> 99.9%
0 7
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
1 113209
> 99.9%
0 7
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 113216
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 113209
> 99.9%
0 7
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 113216
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 113209
> 99.9%
0 7
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 113216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 113209
> 99.9%
0 7
 
< 0.1%

order_item_id
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1950519
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:35.600420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum21
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6874736
Coefficient of variation (CV)0.57526672
Kurtosis94.231738
Mean1.1950519
Median Absolute Deviation (MAD)0
Skewness7.2298065
Sum135299
Variance0.47261995
MonotonicityNot monotonic
2024-10-14T23:01:35.759354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 99191
87.6%
2 9898
 
8.7%
3 2287
 
2.0%
4 943
 
0.8%
5 442
 
0.4%
6 250
 
0.2%
7 60
 
0.1%
8 35
 
< 0.1%
9 28
 
< 0.1%
10 25
 
< 0.1%
Other values (11) 57
 
0.1%
ValueCountFrequency (%)
1 99191
87.6%
2 9898
 
8.7%
3 2287
 
2.0%
4 943
 
0.8%
5 442
 
0.4%
6 250
 
0.2%
7 60
 
0.1%
8 35
 
< 0.1%
9 28
 
< 0.1%
10 25
 
< 0.1%
ValueCountFrequency (%)
21 1
 
< 0.1%
20 2
 
< 0.1%
19 2
 
< 0.1%
18 2
 
< 0.1%
17 2
 
< 0.1%
16 2
 
< 0.1%
15 4
 
< 0.1%
14 6
< 0.1%
13 7
< 0.1%
12 12
< 0.1%

price
Real number (ℝ)

HIGH CORRELATION 

Distinct5776
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.86974
Minimum0.85
Maximum6735
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:35.914655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.85
5-th percentile17
Q139.9
median74.9
Q3132.985
95-th percentile349.9
Maximum6735
Range6734.15
Interquartile range (IQR)93.085

Descriptive statistics

Standard deviation181.12742
Coefficient of variation (CV)1.5110354
Kurtosis111.43426
Mean119.86974
Median Absolute Deviation (MAD)41.91
Skewness7.7064743
Sum13571172
Variance32807.141
MonotonicityNot monotonic
2024-10-14T23:01:36.076364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59.9 2540
 
2.2%
69.9 2057
 
1.8%
49.9 1982
 
1.8%
89.9 1576
 
1.4%
99.9 1480
 
1.3%
29.9 1346
 
1.2%
39.9 1297
 
1.1%
19.9 1247
 
1.1%
79.9 1240
 
1.1%
29.99 1191
 
1.1%
Other values (5766) 97260
85.9%
ValueCountFrequency (%)
0.85 3
 
< 0.1%
1.2 20
< 0.1%
2.2 2
 
< 0.1%
2.29 1
 
< 0.1%
2.9 1
 
< 0.1%
2.99 1
 
< 0.1%
3.06 3
 
< 0.1%
3.49 3
 
< 0.1%
3.5 6
 
< 0.1%
3.54 1
 
< 0.1%
ValueCountFrequency (%)
6735 1
< 0.1%
6499 1
< 0.1%
4799 1
< 0.1%
4690 1
< 0.1%
4590 1
< 0.1%
4399.87 1
< 0.1%
4099.99 1
< 0.1%
4059 1
< 0.1%
3999.9 1
< 0.1%
3999 2
< 0.1%

freight_value
Real number (ℝ)

Distinct6880
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.002353
Minimum0
Maximum409.68
Zeros385
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:36.275550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.78
Q113.08
median16.32
Q321.19
95-th percentile45.1325
Maximum409.68
Range409.68
Interquartile range (IQR)8.11

Descriptive statistics

Standard deviation15.710909
Coefficient of variation (CV)0.78545303
Kurtosis59.278834
Mean20.002353
Median Absolute Deviation (MAD)3.63
Skewness5.5873821
Sum2264586.4
Variance246.83265
MonotonicityNot monotonic
2024-10-14T23:01:36.587040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.1 3690
 
3.3%
7.78 2235
 
2.0%
11.85 1910
 
1.7%
14.1 1886
 
1.7%
18.23 1580
 
1.4%
7.39 1530
 
1.4%
16.11 1169
 
1.0%
15.23 1025
 
0.9%
8.72 913
 
0.8%
16.79 891
 
0.8%
Other values (6870) 96387
85.1%
ValueCountFrequency (%)
0 385
0.3%
0.01 4
 
< 0.1%
0.02 3
 
< 0.1%
0.03 11
 
< 0.1%
0.04 4
 
< 0.1%
0.05 3
 
< 0.1%
0.06 13
 
< 0.1%
0.07 1
 
< 0.1%
0.08 12
 
< 0.1%
0.09 6
 
< 0.1%
ValueCountFrequency (%)
409.68 1
< 0.1%
375.28 2
< 0.1%
339.59 1
< 0.1%
338.3 1
< 0.1%
322.1 1
< 0.1%
321.88 1
< 0.1%
321.46 1
< 0.1%
317.47 1
< 0.1%
314.4 1
< 0.1%
314.02 1
< 0.1%

product_category_name
Real number (ℝ)

Distinct73
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.758506
Minimum0
Maximum72
Zeros246
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:36.764657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q113
median32
Q355
95-th percentile72
Maximum72
Range72
Interquartile range (IQR)42

Descriptive statistics

Standard deviation22.094999
Coefficient of variation (CV)0.60108533
Kurtosis-1.3893979
Mean36.758506
Median Absolute Deviation (MAD)21
Skewness0.14922587
Sum4161651
Variance488.18897
MonotonicityNot monotonic
2024-10-14T23:01:36.938277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 11684
 
10.3%
11 9749
 
8.6%
32 8734
 
7.7%
54 8554
 
7.6%
44 7926
 
7.0%
72 7154
 
6.3%
66 6030
 
5.3%
70 4578
 
4.0%
40 4451
 
3.9%
8 4259
 
3.8%
Other values (63) 40097
35.4%
ValueCountFrequency (%)
0 246
 
0.2%
1 503
 
0.4%
2 281
 
0.2%
3 205
 
0.2%
4 24
 
< 0.1%
5 45
 
< 0.1%
6 145
 
0.1%
7 375
 
0.3%
8 4259
3.8%
9 3095
2.7%
ValueCountFrequency (%)
72 7154
6.3%
71 259
 
0.2%
70 4578
4.0%
69 85
 
0.1%
68 198
 
0.2%
67 2
 
< 0.1%
66 6030
5.3%
65 14
 
< 0.1%
64 75
 
0.1%
63 1998
 
1.8%

product_name_lenght
Real number (ℝ)

Distinct65
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.804224
Minimum5
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:37.108005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile29
Q142
median52
Q357
95-th percentile60
Maximum76
Range71
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.015776
Coefficient of variation (CV)0.20522355
Kurtosis0.15746467
Mean48.804224
Median Absolute Deviation (MAD)6
Skewness-0.91022452
Sum5525419
Variance100.31577
MonotonicityNot monotonic
2024-10-14T23:01:37.275004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59 8457
 
7.5%
60 7857
 
6.9%
56 6713
 
5.9%
58 6651
 
5.9%
57 6169
 
5.4%
55 5715
 
5.0%
54 5367
 
4.7%
53 4229
 
3.7%
52 4208
 
3.7%
49 3591
 
3.2%
Other values (55) 54259
47.9%
ValueCountFrequency (%)
5 9
 
< 0.1%
6 3
 
< 0.1%
7 1
 
< 0.1%
8 4
 
< 0.1%
9 13
 
< 0.1%
10 8
 
< 0.1%
11 9
 
< 0.1%
12 35
< 0.1%
13 25
< 0.1%
14 45
< 0.1%
ValueCountFrequency (%)
76 1
 
< 0.1%
72 9
 
< 0.1%
68 1
 
< 0.1%
67 3
 
< 0.1%
66 1
 
< 0.1%
64 165
 
0.1%
63 1289
 
1.1%
62 152
 
0.1%
61 231
 
0.2%
60 7857
6.9%
Distinct2942
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean784.72571
Minimum4
Maximum3992
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:37.447603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile160
Q1346
median600
Q3982
95-th percentile2115
Maximum3992
Range3988
Interquartile range (IQR)636

Descriptive statistics

Standard deviation650.30034
Coefficient of variation (CV)0.82869763
Kurtosis4.9213171
Mean784.72571
Median Absolute Deviation (MAD)296
Skewness2.0074977
Sum88843506
Variance422890.53
MonotonicityNot monotonic
2024-10-14T23:01:37.615420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341 701
 
0.6%
1893 650
 
0.6%
348 640
 
0.6%
903 579
 
0.5%
492 576
 
0.5%
245 564
 
0.5%
366 530
 
0.5%
236 502
 
0.4%
340 479
 
0.4%
919 430
 
0.4%
Other values (2932) 107565
95.0%
ValueCountFrequency (%)
4 6
< 0.1%
8 2
 
< 0.1%
15 1
 
< 0.1%
20 7
< 0.1%
23 1
 
< 0.1%
26 2
 
< 0.1%
27 4
< 0.1%
28 2
 
< 0.1%
30 6
< 0.1%
31 2
 
< 0.1%
ValueCountFrequency (%)
3992 1
 
< 0.1%
3988 1
 
< 0.1%
3985 3
< 0.1%
3976 5
< 0.1%
3963 1
 
< 0.1%
3956 1
 
< 0.1%
3954 2
 
< 0.1%
3950 2
 
< 0.1%
3949 1
 
< 0.1%
3948 1
 
< 0.1%

product_photos_qty
Real number (ℝ)

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2069672
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:37.783993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile6
Maximum20
Range19
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7183176
Coefficient of variation (CV)0.77858773
Kurtosis4.7658561
Mean2.2069672
Median Absolute Deviation (MAD)0
Skewness1.9035146
Sum249864
Variance2.9526153
MonotonicityNot monotonic
2024-10-14T23:01:37.916837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 57179
50.5%
2 22407
 
19.8%
3 12617
 
11.1%
4 8594
 
7.6%
5 5462
 
4.8%
6 3836
 
3.4%
7 1522
 
1.3%
8 757
 
0.7%
10 346
 
0.3%
9 300
 
0.3%
Other values (9) 196
 
0.2%
ValueCountFrequency (%)
1 57179
50.5%
2 22407
 
19.8%
3 12617
 
11.1%
4 8594
 
7.6%
5 5462
 
4.8%
6 3836
 
3.4%
7 1522
 
1.3%
8 757
 
0.7%
9 300
 
0.3%
10 346
 
0.3%
ValueCountFrequency (%)
20 1
 
< 0.1%
19 1
 
< 0.1%
18 4
 
< 0.1%
17 11
 
< 0.1%
15 11
 
< 0.1%
14 6
 
< 0.1%
13 30
 
< 0.1%
12 59
 
0.1%
11 73
 
0.1%
10 346
0.3%

product_weight_g
Real number (ℝ)

HIGH CORRELATION 

Distinct2166
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2106.3464
Minimum0
Maximum40425
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:38.075313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile125
Q1300
median700
Q31800
95-th percentile9800
Maximum40425
Range40425
Interquartile range (IQR)1500

Descriptive statistics

Standard deviation3765.0347
Coefficient of variation (CV)1.7874718
Kurtosis16.121507
Mean2106.3464
Median Absolute Deviation (MAD)500
Skewness3.5870748
Sum2.3847211 × 108
Variance14175486
MonotonicityNot monotonic
2024-10-14T23:01:38.243740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200 6706
 
5.9%
150 5257
 
4.6%
250 4596
 
4.1%
300 4218
 
3.7%
100 3493
 
3.1%
400 3411
 
3.0%
350 3165
 
2.8%
600 2724
 
2.4%
500 2699
 
2.4%
700 2048
 
1.8%
Other values (2156) 74899
66.2%
ValueCountFrequency (%)
0 8
 
< 0.1%
2 5
 
< 0.1%
25 3
 
< 0.1%
50 911
0.8%
53 2
 
< 0.1%
54 2
 
< 0.1%
55 1
 
< 0.1%
58 1
 
< 0.1%
60 6
 
< 0.1%
61 5
 
< 0.1%
ValueCountFrequency (%)
40425 3
 
< 0.1%
30000 284
0.3%
29800 1
 
< 0.1%
29700 3
 
< 0.1%
29600 5
 
< 0.1%
29500 2
 
< 0.1%
29250 1
 
< 0.1%
29150 1
 
< 0.1%
29100 1
 
< 0.1%
29050 5
 
< 0.1%

product_length_cm
Real number (ℝ)

HIGH CORRELATION 

Distinct99
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.276922
Minimum7
Maximum105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:38.406809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile16
Q118
median25
Q338
95-th percentile62
Maximum105
Range98
Interquartile range (IQR)20

Descriptive statistics

Standard deviation16.14408
Coefficient of variation (CV)0.53321405
Kurtosis3.624952
Mean30.276922
Median Absolute Deviation (MAD)8
Skewness1.7329387
Sum3427832
Variance260.63133
MonotonicityNot monotonic
2024-10-14T23:01:38.573752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 17370
 
15.3%
20 10364
 
9.2%
30 7672
 
6.8%
17 5997
 
5.3%
18 5686
 
5.0%
19 4754
 
4.2%
25 4689
 
4.1%
40 4137
 
3.7%
22 3868
 
3.4%
50 3028
 
2.7%
Other values (89) 45651
40.3%
ValueCountFrequency (%)
7 32
 
< 0.1%
8 2
 
< 0.1%
9 4
 
< 0.1%
10 8
 
< 0.1%
11 96
 
0.1%
12 41
 
< 0.1%
13 57
 
0.1%
14 130
 
0.1%
15 209
 
0.2%
16 17370
15.3%
ValueCountFrequency (%)
105 308
0.3%
104 30
 
< 0.1%
103 44
 
< 0.1%
102 60
 
0.1%
101 107
 
0.1%
100 383
0.3%
99 34
 
< 0.1%
98 49
 
< 0.1%
97 11
 
< 0.1%
96 8
 
< 0.1%

product_height_cm
Real number (ℝ)

HIGH CORRELATION 

Distinct102
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.598652
Minimum2
Maximum105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:38.730431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q18
median13
Q320
95-th percentile45
Maximum105
Range103
Interquartile range (IQR)12

Descriptive statistics

Standard deviation13.43674
Coefficient of variation (CV)0.80950791
Kurtosis7.2822014
Mean16.598652
Median Absolute Deviation (MAD)6
Skewness2.2429305
Sum1879233
Variance180.54599
MonotonicityNot monotonic
2024-10-14T23:01:38.891225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 10018
 
8.8%
15 6648
 
5.9%
20 6643
 
5.9%
11 6170
 
5.4%
12 6090
 
5.4%
2 5001
 
4.4%
4 4692
 
4.1%
8 4683
 
4.1%
16 4568
 
4.0%
5 4536
 
4.0%
Other values (92) 54167
47.8%
ValueCountFrequency (%)
2 5001
4.4%
3 2727
 
2.4%
4 4692
4.1%
5 4536
4.0%
6 3460
 
3.1%
7 4146
3.7%
8 4683
4.1%
9 3323
 
2.9%
10 10018
8.8%
11 6170
5.4%
ValueCountFrequency (%)
105 132
0.1%
104 12
 
< 0.1%
103 49
 
< 0.1%
102 10
 
< 0.1%
100 39
 
< 0.1%
99 5
 
< 0.1%
98 3
 
< 0.1%
97 2
 
< 0.1%
96 5
 
< 0.1%
95 22
 
< 0.1%

product_width_cm
Real number (ℝ)

HIGH CORRELATION 

Distinct94
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.099412
Minimum6
Maximum118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:39.046688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile11
Q115
median20
Q330
95-th percentile45
Maximum118
Range112
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.734956
Coefficient of variation (CV)0.50801969
Kurtosis4.5419969
Mean23.099412
Median Absolute Deviation (MAD)6
Skewness1.7038327
Sum2615223
Variance137.70919
MonotonicityNot monotonic
2024-10-14T23:01:39.197702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 12199
 
10.8%
11 10442
 
9.2%
15 8770
 
7.7%
16 8503
 
7.5%
30 7729
 
6.8%
12 5484
 
4.8%
13 5314
 
4.7%
14 4659
 
4.1%
18 4047
 
3.6%
40 3953
 
3.5%
Other values (84) 42116
37.2%
ValueCountFrequency (%)
6 2
 
< 0.1%
7 5
 
< 0.1%
8 29
 
< 0.1%
9 49
 
< 0.1%
10 81
 
0.1%
11 10442
9.2%
12 5484
4.8%
13 5314
4.7%
14 4659
4.1%
15 8770
7.7%
ValueCountFrequency (%)
118 7
 
< 0.1%
105 13
 
< 0.1%
104 1
 
< 0.1%
102 2
 
< 0.1%
101 2
 
< 0.1%
100 42
< 0.1%
98 1
 
< 0.1%
97 1
 
< 0.1%
95 2
 
< 0.1%
93 17
< 0.1%

customer_zip_code_prefix
Real number (ℝ)

HIGH CORRELATION 

Distinct14825
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35084.549
Minimum1003
Maximum99980
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:39.359688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1003
5-th percentile3282
Q111310
median24315
Q358844.25
95-th percentile90640
Maximum99980
Range98977
Interquartile range (IQR)47534.25

Descriptive statistics

Standard deviation29867.207
Coefficient of variation (CV)0.85129233
Kurtosis-0.78634662
Mean35084.549
Median Absolute Deviation (MAD)16294
Skewness0.78379092
Sum3.9721323 × 109
Variance8.9205008 × 108
MonotonicityNot monotonic
2024-10-14T23:01:39.519281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24220 150
 
0.1%
22793 146
 
0.1%
22790 144
 
0.1%
24230 138
 
0.1%
35162 123
 
0.1%
22775 119
 
0.1%
29101 111
 
0.1%
13087 107
 
0.1%
36570 103
 
0.1%
11740 100
 
0.1%
Other values (14815) 111975
98.9%
ValueCountFrequency (%)
1003 1
 
< 0.1%
1004 2
 
< 0.1%
1005 6
< 0.1%
1006 2
 
< 0.1%
1007 4
< 0.1%
1008 3
 
< 0.1%
1009 8
< 0.1%
1011 6
< 0.1%
1012 2
 
< 0.1%
1013 3
 
< 0.1%
ValueCountFrequency (%)
99980 3
 
< 0.1%
99970 1
 
< 0.1%
99965 2
 
< 0.1%
99960 1
 
< 0.1%
99955 3
 
< 0.1%
99950 9
< 0.1%
99940 2
 
< 0.1%
99930 5
< 0.1%
99925 1
 
< 0.1%
99920 1
 
< 0.1%

review_score
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.3 MiB
5
65153 
4
21816 
1
12870 
3
9536 
2
 
3841

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters113216
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row5

Common Values

ValueCountFrequency (%)
5 65153
57.5%
4 21816
 
19.3%
1 12870
 
11.4%
3 9536
 
8.4%
2 3841
 
3.4%

Length

2024-10-14T23:01:39.662254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-14T23:01:39.780116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 65153
57.5%
4 21816
 
19.3%
1 12870
 
11.4%
3 9536
 
8.4%
2 3841
 
3.4%

Most occurring characters

ValueCountFrequency (%)
5 65153
57.5%
4 21816
 
19.3%
1 12870
 
11.4%
3 9536
 
8.4%
2 3841
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 113216
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 65153
57.5%
4 21816
 
19.3%
1 12870
 
11.4%
3 9536
 
8.4%
2 3841
 
3.4%

Most occurring scripts

ValueCountFrequency (%)
Common 113216
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 65153
57.5%
4 21816
 
19.3%
1 12870
 
11.4%
3 9536
 
8.4%
2 3841
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 113216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 65153
57.5%
4 21816
 
19.3%
1 12870
 
11.4%
3 9536
 
8.4%
2 3841
 
3.4%

seller_zip_code_prefix
Real number (ℝ)

Distinct2133
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24522.45
Minimum1001
Maximum99730
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:39.928011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1001
5-th percentile2972
Q16429
median13660
Q328495
95-th percentile88340
Maximum99730
Range98729
Interquartile range (IQR)22066

Descriptive statistics

Standard deviation27646.98
Coefficient of variation (CV)1.1274151
Kurtosis0.90357605
Mean24522.45
Median Absolute Deviation (MAD)8130
Skewness1.5474768
Sum2.7763337 × 109
Variance7.6435548 × 108
MonotonicityNot monotonic
2024-10-14T23:01:40.092576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14940 8097
 
7.2%
5849 2091
 
1.8%
15025 2084
 
1.8%
9015 1833
 
1.6%
13405 1661
 
1.5%
8577 1535
 
1.4%
4782 1509
 
1.3%
3204 1456
 
1.3%
4160 1242
 
1.1%
13232 1225
 
1.1%
Other values (2123) 90483
79.9%
ValueCountFrequency (%)
1001 22
 
< 0.1%
1021 41
 
< 0.1%
1022 5
 
< 0.1%
1023 5
 
< 0.1%
1026 294
0.3%
1031 122
0.1%
1035 18
 
< 0.1%
1039 1
 
< 0.1%
1040 20
 
< 0.1%
1041 2
 
< 0.1%
ValueCountFrequency (%)
99730 12
 
< 0.1%
99700 2
 
< 0.1%
99670 1
 
< 0.1%
99500 61
0.1%
99300 2
 
< 0.1%
98975 19
 
< 0.1%
98920 1
 
< 0.1%
98910 13
 
< 0.1%
98803 63
0.1%
98780 4
 
< 0.1%

payment_sequential
Real number (ℝ)

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0908087
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:40.232241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum26
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.68661048
Coefficient of variation (CV)0.62945086
Kurtosis310.24927
Mean1.0908087
Median Absolute Deviation (MAD)0
Skewness15.109333
Sum123497
Variance0.47143396
MonotonicityNot monotonic
2024-10-14T23:01:40.371408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 108376
95.7%
2 3240
 
2.9%
3 627
 
0.6%
4 303
 
0.3%
5 180
 
0.2%
6 124
 
0.1%
7 85
 
0.1%
8 55
 
< 0.1%
9 44
 
< 0.1%
10 38
 
< 0.1%
Other values (16) 144
 
0.1%
ValueCountFrequency (%)
1 108376
95.7%
2 3240
 
2.9%
3 627
 
0.6%
4 303
 
0.3%
5 180
 
0.2%
6 124
 
0.1%
7 85
 
0.1%
8 55
 
< 0.1%
9 44
 
< 0.1%
10 38
 
< 0.1%
ValueCountFrequency (%)
26 1
 
< 0.1%
25 1
 
< 0.1%
24 1
 
< 0.1%
23 1
 
< 0.1%
22 2
 
< 0.1%
21 5
< 0.1%
20 5
< 0.1%
19 8
< 0.1%
18 8
< 0.1%
17 8
< 0.1%

payment_type
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.3 MiB
1
83545 
0
22022 
3
 
6023
2
 
1626

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters113216
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row3
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 83545
73.8%
0 22022
 
19.5%
3 6023
 
5.3%
2 1626
 
1.4%

Length

2024-10-14T23:01:40.509081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-14T23:01:40.621017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 83545
73.8%
0 22022
 
19.5%
3 6023
 
5.3%
2 1626
 
1.4%

Most occurring characters

ValueCountFrequency (%)
1 83545
73.8%
0 22022
 
19.5%
3 6023
 
5.3%
2 1626
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 113216
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 83545
73.8%
0 22022
 
19.5%
3 6023
 
5.3%
2 1626
 
1.4%

Most occurring scripts

ValueCountFrequency (%)
Common 113216
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 83545
73.8%
0 22022
 
19.5%
3 6023
 
5.3%
2 1626
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 113216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 83545
73.8%
0 22022
 
19.5%
3 6023
 
5.3%
2 1626
 
1.4%

payment_installments
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9435151
Minimum0
Maximum24
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:40.740819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q34
95-th percentile10
Maximum24
Range24
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.7791372
Coefficient of variation (CV)0.94415593
Kurtosis2.5465187
Mean2.9435151
Median Absolute Deviation (MAD)1
Skewness1.6231193
Sum333253
Variance7.7236036
MonotonicityNot monotonic
2024-10-14T23:01:40.877162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 56418
49.8%
2 13155
 
11.6%
3 11317
 
10.0%
4 7694
 
6.8%
10 6634
 
5.9%
5 5812
 
5.1%
8 4879
 
4.3%
6 4453
 
3.9%
7 1739
 
1.5%
9 695
 
0.6%
Other values (14) 420
 
0.4%
ValueCountFrequency (%)
0 3
 
< 0.1%
1 56418
49.8%
2 13155
 
11.6%
3 11317
 
10.0%
4 7694
 
6.8%
5 5812
 
5.1%
6 4453
 
3.9%
7 1739
 
1.5%
8 4879
 
4.3%
9 695
 
0.6%
ValueCountFrequency (%)
24 34
 
< 0.1%
23 1
 
< 0.1%
22 1
 
< 0.1%
21 6
 
< 0.1%
20 19
 
< 0.1%
18 38
< 0.1%
17 7
 
< 0.1%
16 7
 
< 0.1%
15 88
0.1%
14 15
 
< 0.1%

payment_value
Real number (ℝ)

HIGH CORRELATION 

Distinct28277
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171.57792
Minimum0
Maximum13664.08
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:41.015925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27.2675
Q160.85
median107.97
Q3189.16
95-th percentile511.065
Maximum13664.08
Range13664.08
Interquartile range (IQR)128.31

Descriptive statistics

Standard deviation264.21868
Coefficient of variation (CV)1.539934
Kurtosis547.20669
Mean171.57792
Median Absolute Deviation (MAD)56.57
Skewness14.648382
Sum19425366
Variance69811.509
MonotonicityNot monotonic
2024-10-14T23:01:41.175645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 336
 
0.3%
100 282
 
0.2%
20 281
 
0.2%
77.57 245
 
0.2%
35 162
 
0.1%
73.34 157
 
0.1%
30 130
 
0.1%
116.94 130
 
0.1%
155.14 119
 
0.1%
107.78 116
 
0.1%
Other values (28267) 111258
98.3%
ValueCountFrequency (%)
0 4
< 0.1%
0.01 6
< 0.1%
0.03 2
 
< 0.1%
0.05 2
 
< 0.1%
0.08 2
 
< 0.1%
0.09 1
 
< 0.1%
0.1 3
< 0.1%
0.11 2
 
< 0.1%
0.13 1
 
< 0.1%
0.14 4
< 0.1%
ValueCountFrequency (%)
13664.08 8
< 0.1%
7274.88 4
< 0.1%
6929.31 1
 
< 0.1%
6726.66 1
 
< 0.1%
6081.54 6
< 0.1%
4950.34 1
 
< 0.1%
4764.34 1
 
< 0.1%
4681.78 1
 
< 0.1%
4513.32 1
 
< 0.1%
4445.5 2
 
< 0.1%

churn
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.3 MiB
1
77746 
0
35470 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters113216
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 77746
68.7%
0 35470
31.3%

Length

2024-10-14T23:01:41.328215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-14T23:01:41.433440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 77746
68.7%
0 35470
31.3%

Most occurring characters

ValueCountFrequency (%)
1 77746
68.7%
0 35470
31.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 113216
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 77746
68.7%
0 35470
31.3%

Most occurring scripts

ValueCountFrequency (%)
Common 113216
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 77746
68.7%
0 35470
31.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 113216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 77746
68.7%
0 35470
31.3%

order_processing_time
Real number (ℝ)

ZEROS 

Distinct32110
Distinct (%)28.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.434418
Minimum0
Maximum741.44361
Zeros1481
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:41.715377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.14388889
Q10.21611111
median0.34722222
Q314.941597
95-th percentile48.447431
Maximum741.44361
Range741.44361
Interquartile range (IQR)14.725486

Descriptive statistics

Standard deviation20.948871
Coefficient of variation (CV)2.0076702
Kurtosis87.016468
Mean10.434418
Median Absolute Deviation (MAD)0.18611111
Skewness5.1473332
Sum1181343.1
Variance438.8552
MonotonicityNot monotonic
2024-10-14T23:01:41.870677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1481
 
1.3%
0.2027777778 137
 
0.1%
0.1936111111 135
 
0.1%
0.2111111111 135
 
0.1%
0.2080555556 129
 
0.1%
0.2005555556 128
 
0.1%
0.1938888889 127
 
0.1%
0.1891666667 125
 
0.1%
0.2280555556 123
 
0.1%
0.2136111111 121
 
0.1%
Other values (32100) 110575
97.7%
ValueCountFrequency (%)
0 1481
1.3%
0.08861111111 1
 
< 0.1%
0.08972222222 1
 
< 0.1%
0.09 1
 
< 0.1%
0.09083333333 1
 
< 0.1%
0.09138888889 1
 
< 0.1%
0.09166666667 4
 
< 0.1%
0.09194444444 2
 
< 0.1%
0.0925 2
 
< 0.1%
0.09277777778 1
 
< 0.1%
ValueCountFrequency (%)
741.4436111 1
 
< 0.1%
738.4488889 4
< 0.1%
554.785 1
 
< 0.1%
404.2288889 1
 
< 0.1%
319.5327778 1
 
< 0.1%
313.7986111 1
 
< 0.1%
300.4275 1
 
< 0.1%
299.5177778 1
 
< 0.1%
298.9447222 1
 
< 0.1%
291.4105556 1
 
< 0.1%

shipping_delay
Real number (ℝ)

Distinct90079
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-273.44804
Minimum-3504.3869
Maximum4535.4019
Zeros0
Zeros (%)0.0%
Negative104501
Negative (%)92.3%
Memory size884.6 KiB
2024-10-14T23:01:42.032609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3504.3869
5-th percentile-627.88667
Q1-391.70681
median-289.63236
Q3-157.13896
95-th percentile81.57125
Maximum4535.4019
Range8039.7889
Interquartile range (IQR)234.56785

Descriptive statistics

Standard deviation242.21599
Coefficient of variation (CV)-0.88578433
Kurtosis27.583561
Mean-273.44804
Median Absolute Deviation (MAD)118.86931
Skewness1.8481739
Sum-30958694
Variance58668.587
MonotonicityNot monotonic
2024-10-14T23:01:42.192985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-371.2283333 63
 
0.1%
-97.40277778 38
 
< 0.1%
-127.9205556 26
 
< 0.1%
-249.0116667 24
 
< 0.1%
-195.8447222 24
 
< 0.1%
-267.1291667 24
 
< 0.1%
-202.4541667 24
 
< 0.1%
-80.6875 24
 
< 0.1%
-273.2683333 22
 
< 0.1%
-295.4472222 22
 
< 0.1%
Other values (90069) 112925
99.7%
ValueCountFrequency (%)
-3504.386944 2
< 0.1%
-3345.5375 1
< 0.1%
-3223.404722 1
< 0.1%
-2962.401667 2
< 0.1%
-2602.181389 1
< 0.1%
-1993.693611 1
< 0.1%
-1990.123889 1
< 0.1%
-1855.786111 1
< 0.1%
-1852.639167 1
< 0.1%
-1851.630556 2
< 0.1%
ValueCountFrequency (%)
4535.401944 1
 
< 0.1%
4220.858611 1
 
< 0.1%
4025.001944 1
 
< 0.1%
3998.001111 1
 
< 0.1%
3975.213889 1
 
< 0.1%
3905.240278 1
 
< 0.1%
3882.608056 4
< 0.1%
3878.639167 1
 
< 0.1%
3830.638333 1
 
< 0.1%
3734.554722 1
 
< 0.1%

actual_delivery_time
Real number (ℝ)

HIGH CORRELATION 

Distinct91924
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean298.58225
Minimum12.801944
Maximum5000.4422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:42.358399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12.801944
5-th percentile72.045556
Q1161.73299
median244.50889
Q3372.05299
95-th percentile693.45083
Maximum5000.4422
Range4987.6403
Interquartile range (IQR)210.32

Descriptive statistics

Standard deviation224.52717
Coefficient of variation (CV)0.75197764
Kurtosis39.288939
Mean298.58225
Median Absolute Deviation (MAD)98.685139
Skewness3.7958224
Sum33804288
Variance50412.451
MonotonicityNot monotonic
2024-10-14T23:01:42.520801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
136.3297222 63
 
0.1%
607.6513889 38
 
< 0.1%
363.9933333 26
 
< 0.1%
485.9422222 24
 
< 0.1%
482.8297222 24
 
< 0.1%
277.8886111 24
 
< 0.1%
339.5811111 24
 
< 0.1%
121.0775 24
 
< 0.1%
121.6236111 22
 
< 0.1%
316.5516667 22
 
< 0.1%
Other values (91914) 112925
99.7%
ValueCountFrequency (%)
12.80194444 1
 
< 0.1%
18.75277778 1
 
< 0.1%
20.5275 1
 
< 0.1%
20.72222222 6
< 0.1%
21.37805556 1
 
< 0.1%
21.41972222 1
 
< 0.1%
22.46361111 2
 
< 0.1%
22.51638889 1
 
< 0.1%
23.625 1
 
< 0.1%
23.655 1
 
< 0.1%
ValueCountFrequency (%)
5000.442222 1
< 0.1%
4695.216389 1
< 0.1%
4676.404167 1
< 0.1%
4671.206667 1
< 0.1%
4657.19 1
< 0.1%
4595.125 1
< 0.1%
4556.715833 1
< 0.1%
4515.230833 1
< 0.1%
4505.852222 1
< 0.1%
4492.882778 2
< 0.1%

delivery_speed
Real number (ℝ)

HIGH CORRELATION 

Distinct90380
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean220.02926
Minimum-386.30806
Maximum4924.5833
Zeros10
Zeros (%)< 0.1%
Negative58
Negative (%)0.1%
Memory size884.6 KiB
2024-10-14T23:01:42.684769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-386.30806
5-th percentile26.791181
Q197.502222
median169.40875
Q3285.83715
95-th percentile571.78639
Maximum4924.5833
Range5310.8914
Interquartile range (IQR)188.33493

Descriptive statistics

Standard deviation205.29044
Coefficient of variation (CV)0.93301424
Kurtosis54.7427
Mean220.02926
Median Absolute Deviation (MAD)89.532778
Skewness4.5726296
Sum24910833
Variance42144.164
MonotonicityNot monotonic
2024-10-14T23:01:42.849510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72 65
 
0.1%
96.80111111 63
 
0.1%
382.7988889 38
 
< 0.1%
73 33
 
< 0.1%
311.4783333 26
 
< 0.1%
144.2383333 26
 
< 0.1%
432.8958333 24
 
< 0.1%
143.6027778 24
 
< 0.1%
68.15555556 24
 
< 0.1%
414.8755556 24
 
< 0.1%
Other values (90370) 112869
99.7%
ValueCountFrequency (%)
-386.3080556 2
 
< 0.1%
-189.095 2
 
< 0.1%
-171.9702778 2
 
< 0.1%
-144.2388889 12
< 0.1%
-137.6636111 1
 
< 0.1%
-136.5697222 1
 
< 0.1%
-120.9483333 2
 
< 0.1%
-118.6394444 2
 
< 0.1%
-69.41722222 3
 
< 0.1%
-47.63916667 2
 
< 0.1%
ValueCountFrequency (%)
4924.583333 1
< 0.1%
4661.112222 1
< 0.1%
4565.654167 1
< 0.1%
4514.211667 1
< 0.1%
4493.150556 1
< 0.1%
4473.603889 1
< 0.1%
4376.104167 2
< 0.1%
4370.4 1
< 0.1%
4367.754167 1
< 0.1%
4353.168611 1
< 0.1%

customer_order_frequency
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6626979
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:42.986350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum63
Range62
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.3797477
Coefficient of variation (CV)1.4312569
Kurtosis281.30382
Mean1.6626979
Median Absolute Deviation (MAD)0
Skewness13.472147
Sum188244
Variance5.6631993
MonotonicityNot monotonic
2024-10-14T23:01:43.118728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 82126
72.5%
2 18834
 
16.6%
3 4455
 
3.9%
4 3160
 
2.8%
6 1608
 
1.4%
5 1155
 
1.0%
7 322
 
0.3%
8 312
 
0.3%
12 240
 
0.2%
10 140
 
0.1%
Other values (14) 864
 
0.8%
ValueCountFrequency (%)
1 82126
72.5%
2 18834
 
16.6%
3 4455
 
3.9%
4 3160
 
2.8%
5 1155
 
1.0%
6 1608
 
1.4%
7 322
 
0.3%
8 312
 
0.3%
9 99
 
0.1%
10 140
 
0.1%
ValueCountFrequency (%)
63 63
0.1%
38 38
 
< 0.1%
26 26
 
< 0.1%
24 120
0.1%
22 44
 
< 0.1%
21 63
0.1%
20 40
 
< 0.1%
19 19
 
< 0.1%
16 32
 
< 0.1%
15 90
0.1%

customer_review_average
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0823647
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:43.246696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3436345
Coefficient of variation (CV)0.32913142
Kurtosis0.48271726
Mean4.0823647
Median Absolute Deviation (MAD)0
Skewness-1.3512568
Sum462189
Variance1.8053537
MonotonicityNot monotonic
2024-10-14T23:01:43.389430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
5 64990
57.4%
4 21731
 
19.2%
1 12761
 
11.3%
3 9572
 
8.5%
2 3818
 
3.4%
4.5 156
 
0.1%
2.5 88
 
0.1%
3.5 58
 
0.1%
1.5 36
 
< 0.1%
4.333333333 3
 
< 0.1%
ValueCountFrequency (%)
1 12761
11.3%
1.5 36
 
< 0.1%
2 3818
 
3.4%
2.5 88
 
0.1%
3 9572
8.5%
3.333333333 3
 
< 0.1%
3.5 58
 
0.1%
4 21731
19.2%
4.333333333 3
 
< 0.1%
4.5 156
 
0.1%
ValueCountFrequency (%)
5 64990
57.4%
4.5 156
 
0.1%
4.333333333 3
 
< 0.1%
4 21731
 
19.2%
3.5 58
 
0.1%
3.333333333 3
 
< 0.1%
3 9572
 
8.5%
2.5 88
 
0.1%
2 3818
 
3.4%
1.5 36
 
< 0.1%

customer_review_response_time
Real number (ℝ)

SKEWED 

Distinct78941
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.711531
Minimum2.1413889
Maximum12448.781
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:43.541282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.1413889
5-th percentile15.765625
Q124.326111
median40.529028
Q374.992014
95-th percentile167.59097
Maximum12448.781
Range12446.64
Interquartile range (IQR)50.665903

Descriptive statistics

Standard deviation235.11404
Coefficient of variation (CV)3.1053927
Kurtosis837.91044
Mean75.711531
Median Absolute Deviation (MAD)20.891389
Skewness24.282021
Sum8571756.7
Variance55278.611
MonotonicityNot monotonic
2024-10-14T23:01:43.708198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70.29861111 63
 
0.1%
21.14555556 38
 
< 0.1%
138.8305556 26
 
< 0.1%
109.3419444 25
 
< 0.1%
32.57027778 24
 
< 0.1%
159.1361111 24
 
< 0.1%
67.07222222 24
 
< 0.1%
20.56444444 22
 
< 0.1%
19.43194444 22
 
< 0.1%
68.07666667 21
 
< 0.1%
Other values (78931) 112927
99.7%
ValueCountFrequency (%)
2.141388889 1
< 0.1%
2.436944444 1
< 0.1%
2.482222222 1
< 0.1%
2.503333333 1
< 0.1%
2.610555556 1
< 0.1%
2.62 1
< 0.1%
2.633611111 1
< 0.1%
2.654444444 1
< 0.1%
2.679722222 2
< 0.1%
2.7175 1
< 0.1%
ValueCountFrequency (%)
12448.78111 1
 
< 0.1%
12303.79361 1
 
< 0.1%
12193.6025 3
< 0.1%
11320.33139 1
 
< 0.1%
10724.85944 1
 
< 0.1%
10415.51583 1
 
< 0.1%
9900.504167 1
 
< 0.1%
9874.653611 1
 
< 0.1%
9202.336389 1
 
< 0.1%
8824.365556 1
 
< 0.1%

product_popularity
Real number (ℝ)

Distinct141
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.399784
Minimum1
Maximum526
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:43.869039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median8
Q327
95-th percentile175
Maximum526
Range525
Interquartile range (IQR)24

Descriptive statistics

Standard deviation83.568429
Coefficient of variation (CV)2.2344629
Kurtosis16.662447
Mean37.399784
Median Absolute Deviation (MAD)7
Skewness3.9270731
Sum4234254
Variance6983.6823
MonotonicityNot monotonic
2024-10-14T23:01:44.034431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 16572
 
14.6%
2 11494
 
10.2%
3 7920
 
7.0%
4 6152
 
5.4%
5 4935
 
4.4%
6 4644
 
4.1%
7 3598
 
3.2%
8 3224
 
2.8%
9 2682
 
2.4%
10 2550
 
2.3%
Other values (131) 49445
43.7%
ValueCountFrequency (%)
1 16572
14.6%
2 11494
10.2%
3 7920
7.0%
4 6152
 
5.4%
5 4935
 
4.4%
6 4644
 
4.1%
7 3598
 
3.2%
8 3224
 
2.8%
9 2682
 
2.4%
10 2550
 
2.3%
ValueCountFrequency (%)
526 526
0.5%
507 1014
0.9%
402 402
 
0.4%
395 395
 
0.3%
389 389
 
0.3%
344 344
 
0.3%
323 323
 
0.3%
286 286
 
0.3%
275 275
 
0.2%
269 269
 
0.2%

seller_popularity
Real number (ℝ)

Distinct261
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean445.82101
Minimum1
Maximum2093
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:44.193904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q159
median178
Q3557
95-th percentile2003
Maximum2093
Range2092
Interquartile range (IQR)498

Descriptive statistics

Standard deviation587.88955
Coefficient of variation (CV)1.3186672
Kurtosis1.4167256
Mean445.82101
Median Absolute Deviation (MAD)151
Skewness1.6214245
Sum50474072
Variance345614.12
MonotonicityNot monotonic
2024-10-14T23:01:44.348306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2093 2093
 
1.8%
2076 2076
 
1.8%
2003 2003
 
1.8%
1828 1828
 
1.6%
1650 1650
 
1.5%
1492 1492
 
1.3%
1456 1456
 
1.3%
1445 1445
 
1.3%
1218 1218
 
1.1%
1217 1217
 
1.1%
Other values (251) 96738
85.4%
ValueCountFrequency (%)
1 464
0.4%
2 542
0.5%
3 570
0.5%
4 548
0.5%
5 715
0.6%
6 642
0.6%
7 616
0.5%
8 696
0.6%
9 585
0.5%
10 650
0.6%
ValueCountFrequency (%)
2093 2093
1.8%
2076 2076
1.8%
2003 2003
1.8%
1828 1828
1.6%
1650 1650
1.5%
1492 1492
1.3%
1456 1456
1.3%
1445 1445
1.3%
1218 1218
1.1%
1217 1217
1.1%

product_weight_volume_ratio
Real number (ℝ)

SKEWED 

Distinct13232
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1917133
Minimum0
Maximum85.227273
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:44.502267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.026859157
Q10.06719697
median0.11222615
Q30.19097222
95-th percentile0.52910053
Maximum85.227273
Range85.227273
Interquartile range (IQR)0.12377525

Descriptive statistics

Standard deviation0.79408188
Coefficient of variation (CV)4.142028
Kurtosis4202.1591
Mean0.1917133
Median Absolute Deviation (MAD)0.056522054
Skewness57.363089
Sum21705.014
Variance0.63056603
MonotonicityNot monotonic
2024-10-14T23:01:44.657607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.08333333333 740
 
0.7%
0.5681818182 605
 
0.5%
0.390625 583
 
0.5%
0.1 581
 
0.5%
0.3676470588 567
 
0.5%
0.7102272727 553
 
0.5%
0.1733333333 543
 
0.5%
0.07575757576 541
 
0.5%
0.07828282828 507
 
0.4%
0.06915 507
 
0.4%
Other values (13222) 107489
94.9%
ValueCountFrequency (%)
0 8
 
< 0.1%
0.0003178639542 5
 
< 0.1%
0.0008405056482 1
 
< 0.1%
0.0008818342152 3
 
< 0.1%
0.001485714286 1
 
< 0.1%
0.0015 1
 
< 0.1%
0.00202560363 1
 
< 0.1%
0.002083333333 40
< 0.1%
0.002222222222 14
 
< 0.1%
0.002506265664 2
 
< 0.1%
ValueCountFrequency (%)
85.22727273 1
 
< 0.1%
65.90909091 2
 
< 0.1%
62.78409091 3
< 0.1%
48.15340909 2
 
< 0.1%
45.88068182 4
< 0.1%
45.45454545 2
 
< 0.1%
40.05681818 2
 
< 0.1%
35.79545455 5
< 0.1%
32.38636364 1
 
< 0.1%
30.82386364 2
 
< 0.1%

same_state
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.3 MiB
0
72324 
1
40892 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters113216
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 72324
63.9%
1 40892
36.1%

Length

2024-10-14T23:01:44.799638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-14T23:01:44.904557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 72324
63.9%
1 40892
36.1%

Most occurring characters

ValueCountFrequency (%)
0 72324
63.9%
1 40892
36.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 113216
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 72324
63.9%
1 40892
36.1%

Most occurring scripts

ValueCountFrequency (%)
Common 113216
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 72324
63.9%
1 40892
36.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 113216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 72324
63.9%
1 40892
36.1%

is_high_value_order
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.3 MiB
0
84914 
1
28302 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters113216
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 84914
75.0%
1 28302
 
25.0%

Length

2024-10-14T23:01:45.020348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-14T23:01:45.124159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 84914
75.0%
1 28302
 
25.0%

Most occurring characters

ValueCountFrequency (%)
0 84914
75.0%
1 28302
 
25.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 113216
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 84914
75.0%
1 28302
 
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 113216
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 84914
75.0%
1 28302
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 113216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 84914
75.0%
1 28302
 
25.0%

multiple_installments
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.3 MiB
1
56795 
0
56421 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters113216
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
1 56795
50.2%
0 56421
49.8%

Length

2024-10-14T23:01:45.238394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-14T23:01:45.346695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 56795
50.2%
0 56421
49.8%

Most occurring characters

ValueCountFrequency (%)
1 56795
50.2%
0 56421
49.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 113216
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 56795
50.2%
0 56421
49.8%

Most occurring scripts

ValueCountFrequency (%)
Common 113216
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 56795
50.2%
0 56421
49.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 113216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 56795
50.2%
0 56421
49.8%

product_avg_review_score
Real number (ℝ)

HIGH CORRELATION 

Distinct689
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0823647
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:45.481535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4285714
Q13.8333333
median4.1904762
Q34.6666667
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0.83333333

Descriptive statistics

Standard deviation0.8380529
Coefficient of variation (CV)0.20528614
Kurtosis3.2970147
Mean4.0823647
Median Absolute Deviation (MAD)0.42490842
Skewness-1.5956181
Sum462189
Variance0.70233267
MonotonicityNot monotonic
2024-10-14T23:01:45.651531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 21021
 
18.6%
4 9087
 
8.0%
3 4105
 
3.6%
4.5 4024
 
3.6%
1 2815
 
2.5%
4.333333333 2205
 
1.9%
4.666666667 2139
 
1.9%
3.5 1848
 
1.6%
3.666666667 1461
 
1.3%
4.25 1276
 
1.1%
Other values (679) 63235
55.9%
ValueCountFrequency (%)
1 2815
2.5%
1.142857143 7
 
< 0.1%
1.16 25
 
< 0.1%
1.2 25
 
< 0.1%
1.25 4
 
< 0.1%
1.333333333 42
 
< 0.1%
1.4 10
 
< 0.1%
1.428571429 14
 
< 0.1%
1.4375 16
 
< 0.1%
1.444444444 36
 
< 0.1%
ValueCountFrequency (%)
5 21021
18.6%
4.958333333 24
 
< 0.1%
4.9375 16
 
< 0.1%
4.933333333 15
 
< 0.1%
4.923076923 39
 
< 0.1%
4.916666667 36
 
< 0.1%
4.909090909 88
 
0.1%
4.9 60
 
0.1%
4.896551724 29
 
< 0.1%
4.888888889 153
 
0.1%

seller_avg_review_score
Real number (ℝ)

Distinct806
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0823647
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size884.6 KiB
2024-10-14T23:01:45.820946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.400692
Q13.9285714
median4.1126761
Q34.275
95-th percentile4.592
Maximum5
Range4
Interquartile range (IQR)0.34642857

Descriptive statistics

Standard deviation0.36476856
Coefficient of variation (CV)0.089352272
Kurtosis8.0517235
Mean4.0823647
Median Absolute Deviation (MAD)0.17303823
Skewness-1.4483469
Sum462189
Variance0.1330561
MonotonicityNot monotonic
2024-10-14T23:01:45.994613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.824653607 2093
 
1.8%
3.949903661 2076
 
1.8%
3.988017973 2003
 
1.8%
4.125273523 1828
 
1.6%
4.075151515 1650
 
1.5%
4.091823056 1492
 
1.3%
3.879807692 1456
 
1.3%
4 1449
 
1.3%
3.400692042 1445
 
1.3%
5 1246
 
1.1%
Other values (796) 96478
85.2%
ValueCountFrequency (%)
1 97
0.1%
1.4 20
 
< 0.1%
1.5 22
 
< 0.1%
1.666666667 18
 
< 0.1%
1.75 4
 
< 0.1%
1.8 5
 
< 0.1%
1.833333333 6
 
< 0.1%
1.928571429 14
 
< 0.1%
2 55
< 0.1%
2.071428571 14
 
< 0.1%
ValueCountFrequency (%)
5 1246
1.1%
4.966666667 30
 
< 0.1%
4.956521739 23
 
< 0.1%
4.933333333 45
 
< 0.1%
4.928571429 14
 
< 0.1%
4.923076923 13
 
< 0.1%
4.916666667 12
 
< 0.1%
4.909090909 33
 
< 0.1%
4.903225806 31
 
< 0.1%
4.9 60
 
0.1%

same_city
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.3 MiB
0
107376 
1
 
5840

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters113216
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 107376
94.8%
1 5840
 
5.2%

Length

2024-10-14T23:01:46.149266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-14T23:01:46.262255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 107376
94.8%
1 5840
 
5.2%

Most occurring characters

ValueCountFrequency (%)
0 107376
94.8%
1 5840
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 113216
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 107376
94.8%
1 5840
 
5.2%

Most occurring scripts

ValueCountFrequency (%)
Common 113216
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 107376
94.8%
1 5840
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 113216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 107376
94.8%
1 5840
 
5.2%

Interactions

2024-10-14T23:01:30.001516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T22:59:56.076336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T22:59:59.631675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:03.231798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:06.645899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:10.112586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:13.641630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:17.181655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:20.813605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:24.333745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:27.823076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:31.190297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:34.539239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:38.042976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:41.354194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:44.796346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:48.097371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:51.693787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:55.139982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:58.716556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:02.030000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:05.503760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:09.087255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:12.603343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:16.192930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:19.567509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:23.005919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:26.300848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:30.133348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T22:59:56.210713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T22:59:59.773910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:03.364891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:06.768679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:10.236856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:13.775936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:17.311510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:20.944482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:24.457411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:27.944834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:31.318297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:34.826153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:38.166785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:41.477092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:44.922628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:48.241381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:51.831059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:55.269309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:58.836561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:02.174918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:05.629953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:09.218401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:12.734468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:16.320785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:19.690267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:23.130183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:26.434192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:30.257738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T22:59:56.341397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T22:59:59.901912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:03.484146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:06.889518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:10.361167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:13.901288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:17.434379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:21.069078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:24.576729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:28.090636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:31.449881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:34.943083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:38.284968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:41.597412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:45.042840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:48.365345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:51.949946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:55.394852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:58.952922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:02.289651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:05.745311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:09.359756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:12.857850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:16.437564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:19.808035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:23.256556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:26.565762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:30.374985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T22:59:56.544446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:00.019902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:03.590391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:07.000982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:10.468502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:14.018495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:17.547907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:21.184396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:24.681748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:28.198887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:31.569189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:35.053279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:38.391815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:41.705692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:45.149609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:48.476769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:52.067203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:55.508143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:59.059220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:02.397883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:06.005153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:09.473896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:12.969084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:16.544361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:19.917805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:23.370893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:26.689002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:30.507733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-10-14T23:00:34.181718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:37.671020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:40.991438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:44.434099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:47.737365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:51.323079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:54.765529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:58.341778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:01.674395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:05.112330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:08.720032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:12.220926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:15.808411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:19.197042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:22.656331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:25.937823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:29.622716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:33.365377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T22:59:59.363760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:02.968374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:06.398446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:09.833558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:13.361826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:16.911747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:20.548664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:24.062565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:27.556117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:30.942675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:34.290432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:37.783281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:41.099096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:44.541879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:47.849075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:51.434121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:54.883357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:58.456076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:01.781650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:05.244790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:08.830754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:12.337855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:15.923260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:19.308364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:22.762805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:26.043697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:29.737494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:33.533565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T22:59:59.500811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:03.098020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:06.519788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:09.986076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:13.492754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:17.045426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:20.681563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:24.193919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:27.699628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:31.065488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:34.415795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:37.913610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:41.223799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:44.663160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:47.973537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:51.565048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:55.012584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:00:58.589520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:01.907650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:05.375929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:08.955563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:12.471493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:16.060127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:19.441167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:22.883147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:26.170462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-10-14T23:01:29.868718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-10-14T23:01:46.563525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
actual_delivery_timechurncustomer_order_frequencycustomer_review_averagecustomer_review_response_timecustomer_zip_code_prefixdelivery_speedfreight_valueis_high_value_ordermultiple_installmentsorder_item_idorder_processing_timeorder_statuspayment_installmentspayment_sequentialpayment_typepayment_valuepriceproduct_avg_review_scoreproduct_category_nameproduct_description_lenghtproduct_height_cmproduct_length_cmproduct_name_lenghtproduct_photos_qtyproduct_popularityproduct_weight_gproduct_weight_volume_ratioproduct_width_cmreview_scoresame_citysame_stateseller_avg_review_scoreseller_popularityseller_zip_code_prefixshipping_delay
actual_delivery_time1.0000.024-0.017-0.221-0.0290.4280.8850.4210.0480.021-0.0220.0910.0000.0400.0090.0110.1230.113-0.1800.0220.0070.0600.0780.001-0.0290.0660.1010.0300.0440.1590.0750.208-0.1670.0640.1230.305
churn0.0241.000-0.8990.118-0.0070.0140.0420.0540.1670.030-0.555-0.0020.000-0.002-0.3070.275-0.1280.1270.087-0.0370.058-0.008-0.0260.0150.078-0.048-0.0070.025-0.0170.1500.0040.0090.112-0.0160.0050.051
customer_order_frequency-0.017-0.8991.000-0.1410.014-0.013-0.046-0.0530.0440.0710.6310.0140.000-0.0120.3640.1720.152-0.136-0.1050.044-0.0530.0200.030-0.019-0.0790.0700.015-0.0270.0160.0390.0130.038-0.1250.012-0.010-0.050
customer_review_average-0.2210.118-0.1411.0000.016-0.039-0.180-0.0460.0910.033-0.122-0.0110.008-0.028-0.0050.020-0.0710.0100.565-0.0130.016-0.010-0.017-0.0180.018-0.026-0.016-0.003-0.0120.9930.0330.0660.231-0.0430.019-0.151
customer_review_response_time-0.029-0.0070.0140.0161.0000.022-0.0240.0150.0000.0030.0210.0050.0000.006-0.0170.0060.0280.0080.006-0.0090.0010.0180.0180.005-0.0080.0050.021-0.0030.0190.0040.0000.005-0.001-0.0030.018-0.065
customer_zip_code_prefix0.4280.014-0.013-0.0390.0221.0000.4890.4660.0920.078-0.0090.0240.0000.069-0.0080.0330.1060.069-0.0260.0160.0310.0200.0090.0160.0270.0210.0270.019-0.0020.0420.3220.6950.0090.0100.059-0.132
delivery_speed0.8850.042-0.046-0.180-0.0240.4891.0000.4550.0500.055-0.0490.0130.0000.0680.0100.0170.1000.102-0.129-0.007-0.0020.0260.0460.019-0.0070.0610.0710.0270.0270.1470.2430.524-0.0790.0610.1510.225
freight_value0.4210.054-0.053-0.0460.0150.4660.4551.0000.2810.081-0.0550.0300.0000.1900.0150.0110.4240.434-0.0160.0020.1180.2830.2800.0340.011-0.0330.4470.1710.2720.0120.0490.1380.010-0.0920.256-0.146
is_high_value_order0.0480.1670.0440.0910.0000.0920.0500.2811.0000.2130.2330.0370.0000.290-0.0890.1070.7500.577-0.0330.0260.1140.2070.1550.005-0.019-0.0670.2990.1430.1430.0910.0490.0870.000-0.0860.086-0.048
multiple_installments0.0210.0300.0710.0330.0030.0780.0550.0810.2131.0000.036-0.2740.0030.927-0.1910.5980.3310.265-0.014-0.0030.0330.0870.0810.011-0.005-0.0250.1610.0730.0990.0310.0490.0540.011-0.0020.059-0.052
order_item_id-0.022-0.5550.631-0.1220.021-0.009-0.049-0.0550.2330.0361.0000.0410.0000.061-0.0060.0210.257-0.114-0.0980.041-0.0310.0190.009-0.021-0.0640.0440.003-0.022-0.0020.0430.0240.016-0.1100.006-0.011-0.037
order_processing_time0.091-0.0020.014-0.0110.0050.0240.0130.0300.037-0.2740.0411.0000.000-0.243-0.0380.1340.035-0.006-0.0130.0080.0190.009-0.0060.016-0.0020.0250.0050.014-0.0140.0100.0000.009-0.024-0.000-0.0100.063
order_status0.0000.0000.0000.0080.0000.0000.0000.0000.0000.0030.0000.0001.000-0.0020.0020.000-0.0000.0010.0040.002-0.001-0.0030.0040.0060.003-0.0040.000-0.0000.0010.0100.0000.0000.0010.000-0.0030.009
payment_installments0.040-0.002-0.012-0.0280.0060.0690.0680.1900.2900.9270.061-0.243-0.0021.000-0.1770.2720.3960.317-0.015-0.0000.0330.1050.1080.016-0.004-0.0420.1980.0880.1240.0290.0570.0690.008-0.0110.066-0.059
payment_sequential0.009-0.3070.364-0.005-0.017-0.0080.0100.015-0.089-0.191-0.006-0.0380.002-0.1771.0000.227-0.213-0.0070.0110.003-0.0150.0100.030-0.002-0.0030.0410.0270.0010.0260.0080.0030.0070.001-0.0020.004-0.008
payment_type0.0110.2750.1720.0200.0060.0330.0170.0110.1070.5980.0210.1340.0000.2720.2271.000-0.0920.0320.018-0.008-0.0110.0080.019-0.002-0.003-0.0160.0240.0050.0250.0090.0160.0230.024-0.0150.002-0.039
payment_value0.123-0.1280.152-0.0710.0280.1060.1000.4240.7500.3310.2570.035-0.0000.396-0.213-0.0921.0000.791-0.0430.0040.1700.3060.2320.025-0.013-0.0360.4540.1720.2340.0280.0030.0200.001-0.0840.164-0.063
price0.1130.127-0.1360.0100.0080.0690.1020.4340.5770.265-0.114-0.0060.0010.317-0.0070.0320.7911.0000.024-0.0300.2110.3270.2680.0430.028-0.0370.5160.2060.2720.0100.0050.0300.080-0.0840.179-0.029
product_avg_review_score-0.1800.087-0.1050.5650.006-0.026-0.129-0.016-0.033-0.014-0.098-0.0130.004-0.0150.0110.018-0.0430.0241.000-0.0290.035-0.010-0.014-0.0380.037-0.227-0.0170.001-0.0160.4030.0340.0380.419-0.1750.044-0.101
product_category_name0.022-0.0370.044-0.013-0.0090.016-0.0070.0020.026-0.0030.0410.0080.002-0.0000.003-0.0080.004-0.030-0.0291.000-0.040-0.019-0.082-0.0240.1010.009-0.0280.100-0.1010.0310.0490.067-0.0660.060-0.054-0.014
product_description_lenght0.0070.058-0.0530.0160.0010.031-0.0020.1180.1140.033-0.0310.019-0.0010.033-0.015-0.0110.1700.2110.035-0.0401.0000.134-0.0200.0730.1120.0070.0940.085-0.0810.0150.0150.0450.100-0.1300.0020.009
product_height_cm0.060-0.0080.020-0.0100.0180.0200.0260.2830.2070.0870.0190.009-0.0030.1050.0100.0080.3060.327-0.010-0.0190.1341.0000.243-0.056-0.080-0.0060.531-0.2860.3330.0170.0420.0230.005-0.0790.049-0.012
product_length_cm0.078-0.0260.030-0.0170.0180.0090.0460.2800.1550.0810.009-0.0060.0040.1080.0300.0190.2320.268-0.014-0.082-0.0200.2431.0000.0620.005-0.0120.619-0.1020.6300.0170.0610.035-0.0380.0070.061-0.004
product_name_lenght0.0010.015-0.019-0.0180.0050.0160.0190.0340.0050.011-0.0210.0160.0060.016-0.002-0.0020.0250.043-0.038-0.0240.073-0.0560.0621.0000.1640.0190.0770.0930.0670.0120.0310.016-0.0760.1580.0090.014
product_photos_qty-0.0290.078-0.0790.018-0.0080.027-0.0070.011-0.019-0.005-0.064-0.0020.003-0.004-0.003-0.003-0.0130.0280.0370.1010.112-0.0800.0050.1641.0000.0010.0040.092-0.0150.0150.0480.0100.084-0.029-0.0780.002
product_popularity0.066-0.0480.070-0.0260.0050.0210.061-0.033-0.067-0.0250.0440.025-0.004-0.0420.041-0.016-0.036-0.037-0.2270.0090.007-0.006-0.0120.0190.0011.000-0.001-0.0220.0250.0140.0440.033-0.1030.467-0.0370.027
product_weight_g0.101-0.0070.015-0.0160.0210.0270.0710.4470.2990.1610.0030.0050.0000.1980.0270.0240.4540.516-0.017-0.0280.0940.5310.6190.0770.004-0.0011.0000.3810.6200.0190.0390.021-0.045-0.0270.094-0.009
product_weight_volume_ratio0.0300.025-0.027-0.003-0.0030.0190.0270.1710.1430.073-0.0220.014-0.0000.0880.0010.0050.1720.2060.0010.1000.085-0.286-0.1020.0930.092-0.0220.3811.000-0.1310.0000.0000.002-0.0360.002-0.0000.004
product_width_cm0.044-0.0170.016-0.0120.019-0.0020.0270.2720.1430.099-0.002-0.0140.0010.1240.0260.0250.2340.272-0.016-0.101-0.0810.3330.6300.067-0.0150.0250.620-0.1311.0000.0140.0460.027-0.0490.0410.074-0.014
review_score0.1590.1500.0390.9930.0040.0420.1470.0120.0910.0310.0430.0100.0100.0290.0080.0090.0280.0100.4030.0310.0150.0170.0170.0120.0150.0140.0190.0000.0141.0000.0320.0660.230-0.0430.018-0.151
same_city0.0750.0040.0130.0330.0000.3220.2430.0490.0490.0490.0240.0000.0000.0570.0030.0160.0030.0050.0340.0490.0150.0420.0610.0310.0480.0440.0390.0000.0460.0321.0000.3090.011-0.020-0.2130.102
same_state0.2080.0090.0380.0660.0050.6950.5240.1380.0870.0540.0160.0090.0000.0690.0070.0230.0200.0300.0380.0670.0450.0230.0350.0160.0100.0330.0210.0020.0270.0660.3091.000-0.0270.046-0.2370.195
seller_avg_review_score-0.1670.112-0.1250.231-0.0010.009-0.0790.0100.0000.011-0.110-0.0240.0010.0080.0010.0240.0010.0800.419-0.0660.1000.005-0.038-0.0760.084-0.103-0.045-0.036-0.0490.2300.011-0.0271.000-0.2350.096-0.065
seller_popularity0.064-0.0160.012-0.043-0.0030.0100.061-0.092-0.086-0.0020.006-0.0000.000-0.011-0.002-0.015-0.084-0.084-0.1750.060-0.130-0.0790.0070.158-0.0290.467-0.0270.0020.041-0.043-0.0200.046-0.2351.000-0.1660.030
seller_zip_code_prefix0.1230.005-0.0100.0190.0180.0590.1510.2560.0860.059-0.011-0.010-0.0030.0660.0040.0020.1640.1790.044-0.0540.0020.0490.0610.009-0.078-0.0370.094-0.0000.0740.018-0.213-0.2370.096-0.1661.000-0.139
shipping_delay0.3050.051-0.050-0.151-0.065-0.1320.225-0.146-0.048-0.052-0.0370.0630.009-0.059-0.008-0.039-0.063-0.029-0.101-0.0140.009-0.012-0.0040.0140.0020.027-0.0090.004-0.014-0.1510.1020.195-0.0650.030-0.1391.000

Missing values

2024-10-14T23:01:33.772200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-10-14T23:01:34.516510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

order_statusorder_item_idpricefreight_valueproduct_category_nameproduct_name_lenghtproduct_description_lenghtproduct_photos_qtyproduct_weight_gproduct_length_cmproduct_height_cmproduct_width_cmcustomer_zip_code_prefixreview_scoreseller_zip_code_prefixpayment_sequentialpayment_typepayment_installmentspayment_valuechurnorder_processing_timeshipping_delayactual_delivery_timedelivery_speedcustomer_order_frequencycustomer_review_averagecustomer_review_response_timeproduct_popularityseller_popularityproduct_weight_volume_ratiosame_stateis_high_value_ordermultiple_installmentsproduct_avg_review_scoreseller_avg_review_scoresame_city
01129.998.727240.0268.04.0500.019.08.013.031494935011118.1200.178333-170.579722202.477778145.50361134.027.7300006580.2530361004.04.4310340
11129.998.727240.0268.04.0500.019.08.013.03149493503312.0000.178333-170.579722202.477778145.50361134.027.7300006580.2530361004.04.4310340
21129.998.727240.0268.04.0500.019.08.013.031494935023118.5900.178333-170.579722202.477778145.50361134.027.7300006580.2530361004.04.4310340
31129.997.787240.0268.04.0500.019.08.013.033664935011337.7711.595833-225.25472268.25333323.26944414.039.2766676580.2530361014.04.4310340
41129.997.787240.0268.04.0500.019.08.013.022905935011137.7710.307778-173.499722120.08722272.90500015.023.4397226580.2530361004.04.4310340
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